Journal of Dalian Maritime University

Select

Analysis of factors affecting ship collisions based on association rule mining and complex network theory

FENG Yinwei, LIU Zhengjiang, JIANG Ziyi, XIA Guoqing, CAO Yuhao, WANG Xinjian, WANG Huanxin

Journal of Dalian Maritime University. 2023, 49(3): 31-44. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.004

Abstract (672)

Download PDF (254)

Knowledge map

Save

In order to analyze the interactive relationship between the influencing factors of ship collision accidents more scientifically and reveal the evolution mechanism of ship collision accidents, a ship collision accident database was established based on the global ship collision accident report, which included five types of influencing factors: human factors, ship factors, management factors, environmental factors, and accident time. The Apriori association rule mining algorithm was used to determine frequent patterns, associations, co-occurrences, and causal relationships among these influential factors. Visual representations of these results were obtained by using complex network theory. The topological analysis methods, important node sorting algorithm based on mutual information theory and edge sorting algorithm based on the centrality of edge mediations were used to identify critical influential factors and edges within the network, and evaluate their robustness. The results indicate that the influencing factors of most ship collision accidents are relatively active and the interaction network of influencing factors is closely connected, and factors such as ship tonnage, age, and navigation water area are more important in interactive information transmission.

Select

Current status and trends of ship navigation risk assessment in the Arctic

YANG Xue, ZHI Jingkai, ZHANG Wenjun, ZHOU Xiangyu, XU Sheng, HAN Bing, JIA Xiaofei

Journal of Dalian Maritime University. 2023, 49(2): 1-14. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.001

Abstract (502)

Download PDF (200)

Knowledge map

Save

This paper reviewed systematically the evolution of research topics in the field of Arctic navigation safety, and summarized the application scenarios, supporting decisionmaking, model methods, risk factors, and data sources of risk assessment. The results show that the Arctic navigation risk assessment is an important means to improve navigation safety,which mainly supports decisions on three levels: strategic level, operational level, and execution level. At present, there is still insufficient research on the frequent mechanical failures, marine pollution, propulsion system failure and other accidents, the application of risk assessment in the field of navigation safety assurance in the Northwest Passage, and the impact of risk source such as icing, high latitude, human factors on navigation safety. In the future, the standardization of quantitative risk assessment technology for Arctic navigation should be promoted, navigation risk assessment technology under the coupling of multiple risk factors should be studied,the ship intelligence and channel digitization platforms should be effectively utilized to develop real-time navigation risk prediction systems, and provide better scientific evidence for polar navigation risk prevention and control.

Select

Application and prospects of automatic identification system data in port geography research

ZHANG Sheng, WANG Liehui

Journal of Dalian Maritime University. 2023, 49(3): 61-73. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.007

Abstract (466)

Download PDF (504)

Knowledge map

Save

In this paper, the relevant literature on the application of AIS data in the field of port geography in six academic journals, including comprehensive, geographical (humanities), transportation research (non-engineering), maritime research (non-engineering), oceanography under the engineering category (related to human geography themes), and Chinese human geography was sorted out. Research found that AIS data was currently mainly used in domestic and international port geography research to characterize international trade flows, evaluate port connectivity, refine the interaction between port and city relationships, and capture external impact effects. The depth of research topics in port geography has been improved through the application of AIS data: the research dimensions were more diverse, expanding from summarizing historical spatiotemporal patterns to predicting future trends; the research subjects were more diverse, ranging from individual sizes of ship locations to global flows. The application of AIS data can incorporate the global scale fishing port network into the scope of port geography research, which has not been fully discussed in traditional port geography. In addition, AIS data links ocean carbon emissions with ports and shipping routes, by combining ecological and environmental science perspectives to expand the breadth of port geography research. In combination with data characteristics, the three major application prospects of AIS data in port geography research in the future were proposed: research on major social issues related to global maritime based on AIS global coverage and flexible scaling characteristics of research scale, research on refined governance of port cities based on fine Granularity characteristics, and research on conclusion testing and scientific prediction based on spatiotemporal dynamics and marine characteristics.

Select

Short-term ship traffic flow prediction based on EEMD-PE-LSTM and visualization of channel traffic state

ZHOU Xiangyu, JI Zhe, WANG Fengwu

Journal of Dalian Maritime University. 2023, 49(2): 58-68. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.007

Abstract (452)

Download PDF (109)

Knowledge map

Save

A novel short-time ship traffic flow prediction model was proposed to meet the needs of accurate and rapid prediction of short-time ship traffic flow. The proposed model optimizes Long Short Term Memory (LSTM) neural network based on Ensemble Empirical Mode Decomposition (EEMD) and Permutation Entropy (PE). The prediction process was divided into three stages. Firstly, EEMD was used to reduce the non-stationarity effect of short-term ship traffic flow. Secondly, PE was used to reconstruct the phase space of the time series components decomposed by EEMD to greatly shorten the operation time of the prediction model. Finally, the reconstructed high and low frequency components and residuals are imported into the LSTM model for prediction, and the final prediction result can be obtained after the predicted values are superimposed. The effectiveness of the model is verified by collecting 4392 sets of ship traffic flow data from the main channel of Qingdao Port for 366 consecutive days. The results show that the prediction performance of the proposed EEMD-PE-LSTM model is the best, which is improved by 167% and 226% re-spectively. The proposed model was proved that can reflect the changes of the future short-term ship traffic flow more accurately and quickly. Furthermore, the K-means clustering algorithm was used to cluster the prediction results, which can present the dy-namic transformation process of the ship traffic state more intuitively and simplify the difficulty of manual identification. The visu-alization of the channel traffic state is realized and the workload of front-line ship traffic management personnel is effectively re-duced using the clustering process.

Select

Causal analysis of water traffic accidents based on complex network theory

SUN Jiaqing, LI Mohan, XIU Xiaoyi

Journal of Dalian Maritime University. 2023, 49(2): 80-90. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.009

Abstract (432)

Download PDF (95)

Knowledge map

Save

In order to understand the relationship between the influencing factors of water traffic accidents and prevent the occurrence of water traffic accidents，based on the collected investigation reports of water traffic accidents, four main influencing factors , namely human factors, management factors, ship factors, environmental factors and 78 sub-influencing factors were classified and sorted out, and on the basis of co-occurrence analysis, an adjacency matrix was constructed and the Jaccard index was calculated to establish a network model of water traffic accidents causes. The statistical indicators such as the degree, network the diameter, average path length, clustering coefficient, proximity centrality, and intermediate centrality of the causal network were calculated and analyzed to determine the key factors affecting water traffic safety. The comprehensive evaluation model for multi-attribute decision-making of network nodes was constructed to determine the importance of each influencing factor. The results show that human factors and management factors are dominant, among which, negligence in observation, misjudgment, failure to take effective measures, insufficient safety awareness, insufficient use of good ship skills, unqualified manning, lack of safety management, and improper emergency response are the key influencing factors.

Select

Quota design and no-show countermeasures for port truck reservation system

SUN Shichao, SHI Xin, DONG Yao

Journal of Dalian Maritime University. 2023, 49(2): 91-102. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.010

Abstract (426)

Download PDF (233)

Knowledge map

Save

Aiming at the design issues of reservation quota methods and no-show vehicle reservice strategies in truck reservation systems, the decision-making method combining data-driven and mathematical modeling was proposed. This method revealed the causal relationship between the arrival distribution of external trucks and their total turnover time in the port by analyzing historical data at the port gate, and established an optimization model aimed at minimizing the total turnover time in the external truck port. On this basis, the optimized truck reservation quota scheme was utilized to evaluate and make decisions on the reservice strategies of no-show vehicles reservice in various scenarios by using simulation to consider the actual arrival situation of vehicles in the event of no-show. The empirical analysis results of port Y indicate that the data-driven decision-making method proposed not only improves the authenticity and accuracy of the model results, but also shortens the total turnover time of outbound trucks in the port, and reasonably arranges the reservice plan of no-show vehicles. In addition, this method has the advantage of analyzing and making decisions based on the actual situation of specific ports, and can ensure that the container truck reservation quota scheme and no-show reservice strategy are consistent with the actual situation of the port.

Select

Rail transit passenger fairness based on accessibility calculation of station connection

SUN Shichao, ZHENG Yong, CHENG Luju, ZHANG Xiushuang

Journal of Dalian Maritime University. 2023, 49(3): 1-10. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.001

Abstract (425)

Download PDF (282)

Knowledge map

Save

In order to solve the contradiction between the development of urban rail transit system and the unbalanced travel demand of residents, the study on the fairness of rail transit travel was carried out. Taking Dalian rail transit system as an example, firstly, the actual travel demand of rail transit passengers was obtained by using mobile phone signaling data, and the DBSCAN method was used to identify demand intensive areas, with this to determine the core passenger group of rail transit services. Then, the Gaode map API was used to obtain the actual pre and post transit travel times of passengers in the high-density demand areas, and constructed passenger accessibility indicators for rail transit. Finally, the Lorenz curve, Gini coefficient, and Theil index evaluation methods were adopted to evaluate the fairness of rail transit from both temporal and spatial dimensions. Results show that walking is the primary mode of transit connection, and buses are the auxiliary mode; in terms of time fairness, there is a serious unfairness in Dalian’s rail transit system, the Line 2 is more unfair than Line 1; in terms of spatial fairness, unfairness is mainly caused by differences in passenger accessibility within the service scope of rail transit stations.

Select

Control switching mechanism based on autonomous ship guidelines

ZHANG Wenjun, MU Congrui, YANG Xue, ZHOU Xiangyu, MENG Xiangkun, LI Lianbo, BAI Weiwei

Journal of Dalian Maritime University. 2023, 49(4): 1-12. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.04.001

Abstract (417)

Download PDF (173)

Knowledge map

Save

In this paper the autonomous ship guidelines formulated by classification societies in various countries were analyzed, and the control switching mechanism of L2 class autonomous ships was conducted from four dimensions: switching scenarios, priority of control acquisition, control takeover agents and switching process. Results indicate that switching scenarios can be classified into three types based on their characteristics, and there is a certain correspondence between different types of scenarios and the control take over agents. The priority order for obtaining control is “highest on board crew, followed by shore based operators, and lowest in autonomous systems”. There are certain differences in the switching process between different control takeover agents, but common basic principles need to be followed. The research result can serve as a reference for relevant parties in establishing control authority switching mechanisms of autonomous ships.

Select

Numerical analysis of personnel evacuation speed in ship rolling state

WANG Yihang, LIU Zhengjiang, FANG Siming, WANG Xinjian, ZHANG Xinyu

Journal of Dalian Maritime University. 2023, 49(3): 45-50. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.005

Abstract (410)

Download PDF (579)

Knowledge map

Save

In order to study the influence of ship rolling on pedestrian evacuation speed, a three-dimensional dynamic social force model considering ship rolling motion was established by calculating the forces on pedestrians in different dimensions of rolling motion space and based on the realtime updated rolling angle and angular velocity. Taking the rolling amplitude and rolling period as variables to set up multi scene simulation experiments, and calculate the pedestrian mean motion speed and evacuation time, then analyze the pedestrian movement law under different rolling states. The simulation results show that compared to static tilting, ship rolling further leads to pedestrian movement speed attenuation and evacuation process delay. As the rolling amplitude increases, the pedestrian speed constantly decreasing. After the rolling amplitude exceeds 15 °, the evacuation time rapidly increases. Increasing the rolling period of a ship has a positive impact on the evacuation process, which can effectively improve personnel walking speed and reduce evacuation time, but the degree of impact is still related to the rolling amplitude. Under the same rolling amplitude, when the rolling period reaches 10 s or more, the evacuation efficiency can be significantly improved. The results can provide theoretical basis and technical support for designers to improve ship safety and managers to make evacuation-decisions.

Select

An augmentation method of defect detection dataset based on M-DCGAN

TANG Luyuan, ZHAO Hong, WANG Ning, HAN Bing, WANG Yuanyuan, LI Wangyang

Journal of Dalian Maritime University. 2023, 49(2): 148-160. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.016

Abstract (406)

Download PDF (85)

Knowledge map

Save

Aiming at the insufficient surface defect dataset in intelligent manufacturing, an augmentation method based on mask deep convolution generative adversarial networks(M-DCGAN) was proposed. Firstly, the U-Net-like structure was built by adding an upsampling module to the discriminator and enhancing network depth of the discriminator and generator,a binarization mask extraction method of defect position was designed based on Canny edge detection. Then, a defect target position attention guidance mechanism was established by defining the loss function image mask dependent,the spectral normalization layer and dropout layer were inserted into the network to enhance training stability and maintain the generated images diversity. The experimental results on the strip steel defect dataset show that the images quality generated by the proposed model is higher than that of DCGAN, WGAN-GP, and InfoGAN. Enrich training data by the proposed M-DCGAN algorithm can significantly improve and surpass the defect detection accuracy of traditional augmentation algorithms in eight classic methods such as YOLOv5, SSD, Faster R-CNN, and YOLOv3, which verifies the effectiveness of the proposed algorithm.

Select

Real-time prediction and analysis of jacket platform dynamic response based on one-dimensional convolution and GRU network

ZHANG Zhen, CUI Chunyi, ZHANG Peng, LIU Hailong, WANG Kunpeng, LI Xue

Journal of Dalian Maritime University. 2023, 49(2): 23-32. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.003

Abstract (390)

Download PDF (109)

Knowledge map

Save

In order to effectively achieve a real-time prediction of jacket platforms dynamic response under wave load,the dynamic response prediction method combining one-dimensional convolutional neural network and gated recurrent composite neural network(1DCNN+GRU) was proposed. Based on the SACS program platform,the numerical calculation model of single deck four-legged jacket was established.The dynamic dynamic response state of the jecket under wave action was analyzed by using a nonlinear numerical model to obtain the structural dynamic response time course sample data,and then input into a composite neural network built by the Pytorch framework for training and testing after standardization processing.The calculation and analysis results show that the 1DCNN+GRU composite neural network prediction method has good solution accurate and stability, and each solution step length was less than the amount of forecast advance,which can achieve the dynamic dynamic response real-time prediction of offshore jacket platforms, and provie reference for relevant engineering practices.

Select

Berthing plan of bulk cargo terminal considering phased and balanced utilization of loading and unloading equipment

WANG Yiyang, HU Zhihua

Journal of Dalian Maritime University. 2023, 49(2): 103-112. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.011

Abstract (374)

Download PDF (441)

Knowledge map

Save

Aiming at the problem of high energy consumption and labor cost caused by the unbalanced use of mechanical equipment such as ship unloaders and belt conveyors at bulk cargo terminals, considering the impact of ship unloaders and belt conveyors on the ship berthing plan, and on the basis of the studying equilibrium mechanism and modeling of the loading and unloading equipment at bulk cargo terminals, a mixed integer programming model was established to minimize the total service cost of ships and the total idle time of ship unloaders in the planning period. Models were solved by CPLEX, and as result, derived information such as the berthing position, berthing time, and operation duration of each ship in the example. The results show that under the goal of minimizing total cost, the indicators related to the total service cost of ships during the planning cycle have been optimized. When the total idle time of ship unloader for all ships during the planning cycle is consistent, the total service cost is reduced by 9.375% by minimizing the total service cost in the example. Compared with 4 h per unit time, the comprehensive resource utilization rate of ship unloaders with a unit time of 8 h decreased by 1.67%, which shows that the change of unit period length can cause the change of comprehensive resource utilization rate of loading and unloading equipment.

Select

An improved D^* Lite path planning methodology for polar ships under dynamic ice conditions

XIAO Juanjuan, ZHANG Jinfen, WU Da, HAN Bing

Journal of Dalian Maritime University. 2023, 49(4): 20-27. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.04.003

Abstract (369)

Download PDF (70)

Knowledge map

Save

To solve the problem of dynamic path planning of ships in polar waters, an improved D^* Lite path planning algorithm was proposed combined with the Polar Operational Limit Assessment Risk Indexing System (POLARIS) to adapt to polar navigation. First, the POLARIS risk model was introduced,and by analyzing the grid-based sea ice concentration and sea ice thickness data, a polar navigation risk model was established combined with ship types. The grid environment map with navigation risk index was constructed, and the cost function of the D*Lite algorithm was reconstructed. Secondly, by extending the search neighborhood, the ship's turning Angle was not limited to integer multiples of π/2 or π/4,as a result improving path smoothness and shortening path length. Finally, by introducing the navigable index of grids near non-navigable areas due to safety factor expansion, the probability of pre-planned and re-planned routes moving away from immobilized obstacles was increased. Simulation experiments show that the improved algorithm of D^* Lite algorithm not only reduces sea ice risk by 15.49 % to 40.3 % compared to traditional algorithms , but also reduces path length by 2.99% to 5.32% and path inflection points by 45.95% to 60.98%.

Select

Uncertainty study of stress concentration coefficient of butt joint notch based on correlation analysis

ZHEN Chunbo, LIU Yuchen, TIAN Zian, XING Shizhu, LIU Shewen

Journal of Dalian Maritime University. 2023, 49(4): 135-140. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.04.015

Abstract (365)

Download PDF (57)

Knowledge map

Save

Aiming at the uncertainty of notch stress concentration coefficient caused by the change of butt joint weld shape, the related study was carried out by using parametric finite element analysis and correlation analysis. The uncertainty of weld geometry was simulated by introducing geometric changes of control points, and the correlation between control points was calculated based on a large number of test data samples generated from simulation experiments. A large number of random weld data were obtained by Monte Carlo simulation. On the basis of the notch stress method, ANSYS was used for parameterized modeling to establish a finite element model of the butt joint with introducing uncertainty in weld shape. The stress concentration coefficient of the notch at the weld toe of the butt joint was studied, and the distribution patterns under different defect levels was obtained. The influence of weld shape uncertainty on the stress concentration coefficient of the notch was summarized. On this basis, a first-order response surface model of weld geometry parameters was established based on the large amount of experimental data. The results show that the stress concentration coefficient of the notch is positively correlated with the inclination angle of the weld toe and the height of the weld seam, while negatively correlated with the width of the weld seam. Among them, the inclination angle of the weld seam has the smallest impact.

Select

Online parameter identification of unmanned vehicle response model based on weighted forgetting multiple innovation RLS

ZHANG Haisheng, DONG Zaopeng, YANG Lian, ZHANG Zhengqi, QI Shijie, LI Jiakang

Journal of Dalian Maritime University. 2023, 49(2): 15-22. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.002

Abstract (363)

Download PDF (121)

Knowledge map

Save

In order to achieve accurate online modeling of the unmanned surface vehicle maneuvering motion, a new weighted strategy has been designed. This strategy can adjust the weight of the corresponding data in the parameter recursion in real-time according to the difference between the data. The proposed algorithm is validated based on experimental data from a water-jet-propelled unmanned surface vehicle. The bow angle data is predicted using the model obtained from the improved algorithm, its square root error can be reduced by about 6 °, and the maximum decision coefficient can reach 0.9927. The results show that the algorithm has a strong online parameter identification modeling ability.

Select

Multi-strategy improved sparrow search algorithm-based path planning of a unmanned surface vehicle

ZHAN Xiaofei, ZHAO Hong, WANG Ning, LI Wangyang, XIE Yizhe

Journal of Dalian Maritime University. 2024, 50(1): 1-10. https://doi.org/10.16411/j.cnki.issn1006-7736.2024.01.001

Abstract (361)

Download PDF (71)

Knowledge map

Save

In order to obtain a high performance unmanned surface vehicle (USV) navigation path, this paper proposes a multi-strategy improved sparrow search algorithm (MISSA). When planning a path for an unmanned surface vehicle, in addition to considering the distance factor, it is also necessary to reduce the number of turning times of the unmanned surface vehicle and avoid large steering angles. Therefore, in this paper：firstly, a fitness function with a steering angle penalty element is designed; secondly, the position update strategy is improved by using the golden positive selection method and the parameter self-helix setting. The problem of local optima is to obtain a global path with better fitness. The simulation results show that compared with the three excellent algorithms of improved A*, improved ant colony combined with genetics, and original SSA, the MISSA algorithm in this paper performs best in key performance indicators such as path distance, steering angle and steering times. It provides an effective way for autonomous and safe operation of USV.

Select

Numerical simulation of effects of non-equilibrium plasma on ammonia/air combustion

JIANG Hao, DENG Yangbo, JIN Jitao, BAI Yuxuan, LIU Shixu

Journal of Dalian Maritime University. 2023, 49(3): 148-156. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.016

Abstract (356)

Download PDF (105)

Knowledge map

Save

To investigate the effect of non-equilibrium plasma on the combustion of ammonia/air at ambient conditions, the CHEMKIN software was used to simulate the ignition delay time of ammonia/air under experimental conditions. The ZDPlaskin program was used to study the discharge of ammonia/air at ambient conditions. The resulting O, H, and OH radicals were used as the CHEMKIN initial conditions to study the effect on the ignition delay time of ammonia/air. The sensitivity of the temperature and active radicals at the ignition time were analyzed. The results from ZDPlaskin show that the number density of radical particles produced by discharge of mixtures with different equivalence ratios was similar. The simulation results of CHEMKIN indicate that without the addition of free radicals, the ignition delay time is less affected by the change of equivalence ratio when the equivalence ratio is 0.8 ~ 1.2. After the addition of free radicals, the ignition delay time decreases with the decrease of equivalence ratio. O. H and OH radicals can significantly reduce the ignition delay time of ammonia/air, and the degree of reduction decreases with the increase of initial temperature. At the same initial temperature, the reaction equation is the same as the reaction equation with the highest temperature sensitivity, as the temperature increases, the reaction equation with the highest sensitivity will change and the sensitivity will significantly decrease. At different initial temperatures, multiple reactions appear repeatedly in the reactions with the highest temperature and radical sensitivity, which is an important basis for simplifying the mechanism.

Select

Optimization design and verification of ship-propeller-rudder using twisted rudder

YOU Yun, ZHANG Hong, WANG Ruiyang, ZHOU Yuanhao, WANG Feng, QIAN Jianhua

Journal of Dalian Maritime University. 2023, 49(2): 42-47. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.005

Abstract (350)

Download PDF (281)

Knowledge map

Save

Due to its multi-working characteristics, multi-condition ship type usually has several speeds.In order to take into account the good resistance performance and cavitation characteristics under different working conditions, this paper optimizes the design of the ship-propeller-rudder propulsion system combination of the mother ship. For the tail flow field area, the stern hull line of the mother ship is matched for the ship-propeller-rudder, the main section, propeller, and high-performance rudder are selected. The open water, self-propelled and cavitation tests of the optimized model show that the optimization of the ship-propeller-rudder propulsion system of the mother ship can effectively improve the resistance performance and reduce the adverse cavitation influence under high-speed working conditions.

Select

Crude oil tanker fleet deployment optimization to improve ship energy efficiency under the background of carbon emission reduction

JIANG Weiqi, ZHONG Ming, ZHANG Mengdi

Journal of Dalian Maritime University. 2023, 49(3): 20-30. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.003

Abstract (349)

Download PDF (238)

Knowledge map

Save

In response to the existing policies on ship energy efficiency coefficients and carbon intensity indicators proposed by the International Maritime Organization, it is expected that a certain number of existing ships will need to use new technologies or modify the propulsion plant components to improve ship energy efficiency. At the same time, more and more ships were choosing to install closed desulfurization devices to cope with sulfur emission control zone restrictions. In this context, in response to the problem of crude oil tanker fleet deployment, a mixed integer nonlinear optimization model was established by considering the transformation strategy of improving energy efficiency and installing desulfurization devices, with the goal of minimizing the sum of annual fuel cost and carbon emission cost, and considering carbon emission constraints. A self-adaptive-simulated annealing particle swarm optimization algorithm was selected to solve the model, and the sensitivity analysis of fuel price fluctuation and carbon tax rate was carried out, and the rationality and effectiveness of the model were verified through numerical examples.

Select

Current status of energy configuration and propulsion system development for hybrid power ships

LI Zehao, WANG Fu, HU Zhuo, YUAN Jinliang

Journal of Dalian Maritime University. 2023, 49(3): 74-87. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.008

Abstract (339)

Download PDF (379)

Knowledge map

Save

The challenges faced by the shipping industry were analyzed, the energy forms of ship hybrid systems were outlined, and the energy configurations of different ship hybrid systems were elaborated. The current structure scheme of hybrid power system and the choice of propulsion were summarized. The challenges faced by ship hybrid power propulsion systems and propulsion technologies were analyzed, and the trend of future development and the direction of in-depth research were prospected, which points out a direction for the development of green, low-carbon, and intelligent ships.

Select

Pipeline initial path optimization based on improved A^* algorithm

IANG Qinwen, DU Hongwang, NIE Yong, XIONG Wei

Journal of Dalian Maritime University. 2023, 49(2): 141-147. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.015

Abstract (331)

Download PDF (85)

Knowledge map

Save

Aiming at the efficiency and precision problem of pipeline layout, a pipeline initial path calculation method based on improved A* algorithm was proposed. Considering the actual pipeline layout, the product plan was obtained for modeling the pipeline layout space. MATLAB image processing module was used to complete the feature extraction of the layout environment, and the grid method was used to complete the layout space preprocessing. Based on A* algorithm, the search direction was expanded to remove redundant nodes and optimize the path length. Considering the bending constraints of the pipeline, the heuristic function for the number of bends and bending radius was constructed to filter the key nodes of the path, and a pipeline initial path satisfying the bending constraints and economic constraints was obtained to reduce the workload of path post-processing. Compared with other algorithms in literature [13-14], the algorithm proposed in this paper reduces path length by 3.3%, improves solving efficiency by 28.98%, reduces path bending nodes by 14.3%, and improves layout efficiency. The actual layout scenario testing shows that compared to the original A* algorithm, the improved algorithm reduces the path length by 6.54% and improves efficiency by 42.59%.

Select

A GAN based multi-vessel trajectory prediction method

CUI Zhiyuan, PAN Mingyang, LIN Zhijia, LIU Zongying, ZHANG Ruolan

Journal of Dalian Maritime University. 2023, 49(3): 51-60. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.006

Abstract (329)

Download PDF (153)

Knowledge map

Save

To better predict vessel trajectories in multi-vessel collision avoidance scenarios in congested waters areas, a multi-vessel trajectory prediction model called Vessel-GAN was proposed based on the generative adversarial networks. For the vessel trajectory characteristics, based on technologies of multi-vessel historical trajectory encoding and decoding of temporal convolutional network, vessel interaction feature extraction, terminal information guidance, and collision avoidance loss function, the Vessel GAN model realized the generation of multi-vessel prediction trajectories of fitting the distribution of vessel navigation behavior data through adversarial training on historical trajectories. The experiment on the vessel interactive data sets of nearly 50 million messages constructed from AIS data in the Qiongzhou Strait show that compared with the Social GAN benchmark model, the calculation speed of Vessel GAN is improved by 36%, the average displacement accuracy and the terminal displacement accuracy are improved by 28% and 41% respectively, and the generated multi-vessel prediction trajectory is more consistent with the real behavior characteristics of vessels, and has better real-time prediction and stability.

Select

Employers' shuttle bus alliance operations in remote areas considering employee time value differences

CHEN Dongxu, CHEN Kang, YANG Zhongzhen

Journal of Dalian Maritime University. 2023, 49(2): 113-120. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.012

Abstract (326)

Download PDF (59)

Knowledge map

Save

To reduce the commuting costs of employees in remote areas, an employer bus alliance operation model was designed, and a two-layer optimization model was constructed for bus alliance operation. Among them, the upper level model targeted the total generalized cost of all employer buses minimum, and optimizing the member structure of participating bus alliances, the lower level model considered the time value differences among employers and employees within the alliance, with the goal of minimizing the total generalized cost of shuttle buses in the alliance, and optimizeed the travel paths of each shuttle bus during the operation of the alliance. The monetary costs of alliance operating shuttle buses was fairly shared based on Shapley value method. Taking three employers in the Meishan area of Ningbo as an example, the optimized shuttle bus operation plan shows that the three employers’ alliance is the optimal alliance structure. Compared with each employer operating commuting buses separately, the total generalized cost of operating shuttle buses by the alliance is saved by 10.24%, of which the monetary cost is saved by 26.44%, and the monetary cost shared by the three employers is reduced by 27.7%, 51% and 5.9% respectively; the employee time costs is saved by 3.75%。

Select

Sensitivity analysis of fatigue parameters for offshore wind turbine jacket foundation based on SACS

WANG Jianchao, CUI Chunyi, ZHANG Peng, LIU Hailong, WANG Kunpeng

Journal of Dalian Maritime University. 2023, 49(3): 106-113. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.011

Abstract (325)

Download PDF (125)

Knowledge map

Save

SACS software was used to establish a frequency domain fatigue analysis model for offshore wind turbine jacket foundation, different wave spectra and spectral parameters were used to generate wave loads, and different S-N curves and SCF empirical formulas were used to calculate the fatigue life of the jacket foundation and the connection parts with the tower, and the influence of key parameters on the fatigue life calculation results of structural hot spots was analyzed. It was shown that factors such as S-N curve, SCF calculation method, wave spectrum, corrosion, and pile soil weakening have significant impact on the fatigue life calculation results of jacket foundation pipe nodes.

Select

Hydrodynamic mechanism of marine rudder considering the influence of aspect ratio

ZHU Junqu, HOU Lixun, WANG Qingcai, YANG Jing, CHANG Xin

Journal of Dalian Maritime University. 2023, 49(2): 33-41. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.004

Abstract (320)

Download PDF (55)

Knowledge map

Save

In order to explore the hydrodynamic mechanism of marine rudders under the influence of different aspect ratios, the viscous CFD technology is adopted to simulate the hydrodynamic performance of marine rudders with different aspect ratios at different rudder angles. Firstly, the grid independence analysis is carried out, and the accuracy of the numerical simulation method is verified based on the experimental results. Then the hydrodynamic mechanism of the rudder is explained according to the surface pressure distribution, velocity flow field distribution and wake vortex shape of the rudder. The research shows that the greater the aspect ratio, the easier it is to cause flow separation, and eventually the stall phenomenon will occur in advance. As the aspect ratio increases, the rudder angle corresponding to the optimal lift-drag ratio will move forward. With the increase of rudder angle, the flow separation point will gradually move forward.

Select

Ship traffic status in South China Sea water based on satellite AIS data

PU Tianyu, WANG Zhiming, LI Yumin, XUAN Shaoyong

Journal of Dalian Maritime University. 2023, 49(2): 69-79. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.008

Abstract (315)

Download PDF (56)

Knowledge map

Save

The loading of Automatic Identification System equipment on low-orbiting satellites can adapt to the demand of exchanging data and information with greater “capacity” brought by the AIS data information of ships in deep waters that cannot be covered by land-based stations. The information in the satellite AIS data contains a large number of potential features of ship activities, and by selecting the ship satellite AIS data of typical months in the South China Sea in 2020. Data Mining, Geographic Information System and traffic flow theory are used to visualize and analyze the ship activities in the South China Sea. The study shows that the distribution of ship routes in the South China Sea is very high. Research shows that the distribution of ship routes in South China Sea waters is highly compatible with the recommended routes for merchant ships, and the width of the track belt is obvious; the number of ships passing through the southern waters of Taiwan Strait is obviously increasing. South China Sea maritime safety management and service security layout should focus on the main shipping routes with ships, important straits, key offshore islands and coastal waters. The research findings can provide basic theoretical support for the layout and construction of ship safety management and service capacity guarantee in the South China Sea.

Select

Development and key technologies of fatigue analysis software for ship shafting in ice regions

JU Yao, ZHOU Ruiping, GUO Yukou, LI Jiang, FANG Bin

Journal of Dalian Maritime University. 2023, 49(2): 48-57. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.006

Abstract (314)

Download PDF (59)

Knowledge map

Save

Affected by the global warming and the melting of Arctic glaciers, the number of ships sailing on polar/ice routes is increasing. The fatigue analysis of propulsion shafting under the excitation of ice load has become a hot technical issue in the design/reconstruction of ships in ice areas. The fatigue analysis and calculation model of ship propulsion shafting under the action of ice load is established, and the method of determining the maximum peak torque of the full speed shaft section ice load, the design of S-N curve and the determination of the linear damage system are proposed. The fatigue analysis process and evaluation criteria of ship shafting in the ice area are given. Based on the joint programming of C # and Matlab, the fatigue analysis software of ship propulsion shafting in the ice area is developed, and the correctness of the software is verified by comparison.

Select

Compatibility between TPU and asphalt in TPU modified asphalt based on molecular dynamics

GUO Naisheng, LÜ Xin, JIN Xin, YU Ankang, FANG Chenze, CHU Zhaoyang

Journal of Dalian Maritime University. 2023, 49(3): 129-137. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.014

Abstract (304)

Download PDF (98)

Knowledge map

Save

In order to investigate compatibility between thermoplastic polyurethane elastomer (TPU) and asphalt in TPU modified asphalt, a twelve-molecule model represented by four components of asphalt and a molecular model represented by TPU were constructed by using Materials Studio 2020 molecular simulation software, and the asphalt molecular model was further optimized based on the four-component test of asphalt, and the optimized molecular model was assembled to construct a TPU asphalt blending model. The compatibility of TPU and asphalt in the TPU modified asphalt blending model under different temperature conditions was analyzed by using solubility parameters, molecular potential energy and diffusion coefficient, and verified by fluorescence microscopy tests. The results show that TPU has the best compatibility with various components of asphalt at 160 ℃, especially with aromatic fraction and gum. The interaction between aromatic fraction and TPU can improve the compatibility between TPU and asphalt, thereby inhibiting the diffusion of aromatic fraction. At 160 ℃, TPU is more uniformly distributed in asphalt, and as result the best compatibility with asphalt.

Select

Parameter adaptive virtual DC generator control strategy for DC microgrid

WU Ming, LIN Yejin, ZHANG Qinjin, ZENG Yuji, ZHANGHanwen

Journal of Dalian Maritime University. 2023, 49(2): 131-140. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.014

Abstract (291)

Download PDF (74)

Knowledge map

Save

Aiming at the problem that the sudden change of load power in the DC microgrid will cause the large fluctuation of bus voltage, even caused the system instability in serious cases, a virtual DC motor parameter adaptive control strategy based on differential compensation was proposed, taking the energy storage parallel converter as the study object. The strategy feedback the output voltage deviation of the energy storage converter to the differential compensation coefficient, so that the compensation coefficient can adjust the compensation coefficient size in real time as the load fluctuation, result in reducing effectively the impact of power fluctuation on the system stability, improving the dynamic performance of system, and realizing the parallel power distribution according to the ratio of the armature resistance in the control of each converter in the parallel system. The smallsignal model of the system was established, and the influence of key control parameters on the system stability was analyzed by using Bode diagram and impedance ratio criterion. MATLAB/Simulink simulation and StarSim HIL experimental platform verify the effectiveness of the proposed parameter adaptive control strategy for the virtual DC generator.

Select

An analysis of the causal path on water traffic accidents in China Coast

JIANG Yujie, WAN Zheng, CHEN Jihong

Journal of Dalian Maritime University. 2024, 50(1): 76-84. https://doi.org/10.16411/j.cnki.issn1006-7736.2024.01.009

Abstract (278)

Download PDF (29)

Knowledge map

Save

To explore the causal path of various water traffic accidents in China Coast, a causal path analysis method for water traffic accidents based on Human factors analysis and classification system (HFACS) model, Bayesian network (BN) model and path model was proposed. Firstly, based on the HFACS model, 5 levels including 38 causal factors for water traffic accidents were identified from the investigation report of water traffic accidents in China Coast. Secondly, the K2 algorithm was used for BN structure learning, and combined with chi-square test results and prior knowledge to determine the BN structure. Next, the maximum expectation algorithm was utilized for BN parameter learning. Then, the sensitivity analysis method was used to extract the causal path of various water traffic accidents. Finally, the path model was applied to calculate the causal path coefficients of various water traffic accidents and test their statistical significance. The results indicate that there are respectively 7, 6, 3, 7, 4, 4, and 2 significant causative pathways for accidents such as collision, sinking, contact, grounding, fire/explosion, wind strike, and stranding, in China Coast. From the perspective of effect level of causal path, the largest causal path of both contact accidents and stranding accidents is “improper allocation of chart data → improper navigation plan → contact/stranding accident”.

Select

Uniaxial compression simulation of cemented soil based on microstructural hydration units

ZHU Jin, ZHAO Jiuye, CUI Chunyi, SUN Xiannian, YU Chunyang

Journal of Dalian Maritime University. 2023, 49(3): 138-147. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.015

Abstract (272)

Download PDF (90)

Knowledge map

Save

To realize the application of particle flow code (PFC) method in strength prediction, according to the microstructure characteristics of various types of hydration products, numerical models of both ordinary Portland cement-soil and sulfur aluminate cement-soil were constructed respectively based on the micro hydration unit by using PFC method to simulate their mechanical response under uniaxial compression, and compared with experimental results. The analysis of parallel bonding parameters among particles shows that the parallel bonding modulus is the main influencing factor of macroscopic elastic modulus, and the two exhibit a quadratic nonlinear growth relationship. There is a linear growth relationship between parallel bonding strength and peak stress. Within the value interval of parameter, the hydration unit can simulate the direction and number of oblique cracks that match the experimental phenomenon. The micro parameters of two types of cement soil were determined using uniaxial compression experimental curves with a cement content of 15%. Based on the determined parameters, when the simulated cement content was between 9% and 12%, the errors between the peak stress and elastic modulus of uniaxial compression obtained by the model and the experimental results were less than 5%; When the cement content is 6%, the error is slightly higher, but still less than 9%. The simulation results show that the micro hydration unit can be used to simulate and predict the peak stress and elastic modulus of cement soil under uniaxial compression, which provides a new approach for the establishment of other material models.

Select

Ship domain in traffic lane waters based on sector grid superposition calculation

GAO Feide, CAO Yuhao, ZHANG Peng, WANG Xinjian

Journal of Dalian Maritime University. 2023, 49(4): 88-94. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.04.010

Abstract (266)

Download PDF (60)

Knowledge map

Save

In order to accurately and objectively reveal the relationship between ship domain, ship type and ship size near traffic lanes of open water, a method to determine ship domain boundary based on ship automatic identification system (AIS) data was proposed firstly, i.e., a large amount of AIS data was used to calculate the relative position relationship between ships, and the relative position relationship between ships in different time and space was stacked together. In this way, the distribution of other ships around the center ship is reflected. Secondly, an integrated platform of ship domain analysis was designed, and by combining with the distribution of surrounding ships, the least square method was used to fit the domain boundary, and the ship domain in the study area was obtained. Finally, taking certain traffic lane water as an example, the ship domain of the main ship types were studied. Results show that the ship domain in traffic lane of open water is near elliptic, which is similar to the Fujii ship domain model. The ship domain is related to ship size and ship type, and increases with the increase of ship size. in the same size, cargo ship domain is smaller than oil tanker, and the long axis of domain is more significant than the short axis as the length increases.

Select

RCEP regional logistics distribution center layout optimization from the perspective of Beibu Gulf port

WANG Shuaifei, DONG Gang, LIU Yifan

Journal of Dalian Maritime University. 2023, 49(3): 11-19. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.002

Abstract (261)

Download PDF (237)

Knowledge map

Save

In order to further enhance the autonomy and controllability of regional logistics networks among Regional Comprehensive Economic Partnership (RCEP) member countries, the two-stage method was used to optimize the layout of regional logistics distribution centers in RCEP. Firstly, from the perspective of Beibu Gulf port, by considering the key factors such as trade volume and GDP, the alternative logistics distribution center nodes were selected qualitatively based on three selection criteria. Secondly, the complex network of railway, water transport and highway was constructed respectively according to the correlation between nodes by incorporating the current construction situation and long-term planning of the“Trans-Asian railway”. Then, the UCINET tool and the entropy weight TOPSIS method were used to quantitatively evaluate the importance of candidate nodes. Finally, the comprehensive ranking of nodes was calculated by weighting, and the logistics distribution layout was double optimized based on the location characteristics of the nodes. The results show that the logistics distribution center layout with Chongqing, Guangzhou, Qinzhou, Kunming, Yangon, Ho Chi Minh, Singapore, Surabaya, Melbourne and Naha as the core nodes will further enhance the synergy of the RCEP regional logistics network. The research results can provide decision-making references for the transportation authorities to optimize the layout of RCEP regional logistics distribution centers, and for relevant logistics enterprises to participate in the investment and construction of RCEP regional logistics distribution centers.

Select

Location-allocation optimization of emergency material distribution center considering demand and time uncertainty in the initial stage of post-disaster

GUO Bing, JING Ke, GONG Fengneng

Journal of Dalian Maritime University. 2023, 49(2): 121-130. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.013

Abstract (260)

Download PDF (62)

Knowledge map

Save

Aiming at the uncertainty of the demand for emergency materials at the disaster-stricken areas in the initial stage of post-disaster, considering the uncertainty of transportation time caused by the interruption of the passage, a multi-objective optimization model for location-allocation of emergency material distribution centers under the condition of short supply of emergency materials was constructed with the goal of minimizing the total cost of emergency material distribution and maximizing the comprehensive satisfaction of the affected areas. The comprehensive satisfaction was characterized by both time satisfaction and demand satisfaction. The quantum particle swarm optimization algorithm was designed to solve the model, compared by using the genetic algorithm, and the sensitivity analysis of relevant parameters was carried out. The example analysis shows that the model and algorithm are effective, and can provide a better location-allocation scheme.

Select

Event-triggered adaptive neural asymptotic depth tracking control of autonomous underwater vehicles

TANG Sixing, DENG Yingjie, ZHAO Yunli

Journal of Dalian Maritime University. 2023, 49(4): 57-64. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.04.007

Abstract (259)

Download PDF (53)

Knowledge map

Save

Aiming at high-precision depth tracking control problem of autonomous underwater vehicles (AUVs) in unknown model dynamics and environmental disturbances, an event-triggered adaptive neural asymptotic tracking controller was designed. RBF neural networks (NNs) was used to approximate the nonlinear uncertain terms, and the integral-bounded functions were incorporated into control laws and adaptive laws to achieve asymptotic convergence of tracking errors. The minimum learning parameters (MLPs) technique was adopted to compress neural weights and construct a single parameter adaptive law. The variable type event triggering condition was constructed by using the event-triggered mechanism on the controller-to-actuator channel, and avoid “Zeno” phenomenon. The inequality relationship of radial basis functions was used to solve the problem of “algebraic loop”. The Lyapunov direct method and Barbalat Lemma were used to analyze the stability of the closed-loop system and prove the asymptotic convergence of tracking errors. Simulation experiments verified that the control strategy proposed in this paper has high-precision depth tracking performance.

Select

Numerical simulation of battery thermal runaway release gas diffusion and transport in the cabin of lithium battery powered ship

LIAN Jie, FENG Xing, LIU Yifan, LIAO Weimin, LII Wei

Journal of Dalian Maritime University. 2023, 49(3): 122-128. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.013

Abstract (259)

Download PDF (98)

Knowledge map

Save

In order to accurately assess the possible explosion risk caused by thermal runaway accidents of the lithium battery powered marine vessels, a numerical model for simulating the diffusion and transport of explosive gas clouds in the battery compartment under different ventilation conditions was established based on the Euler multiphase flow model coupling the standard k- ε turbulence model. Taking a domestic lithium battery powered marine ship as the research target, the gas transport process after thermal runaway of batteries with various number scales under different air conditioning conditions was analyzed, and the distribution and transportation of combustible and explosive gas clouds characterized by using the combustion and explosion range of the main component-H2 of the released gas were obtained. The calculation results indicate that the released gas rapidly diffuses inside the cabin and accumulates towards the cabin roof. The larger the number of batteries with gas release, the larger the explosive gas cloud area and gas concentration. The explosive gas cloud can be decreased by ventilation but cannot be efficiently reduced by simply increasing the supplied air rate. CFD numerical simulation can be utilized to assist in evaluating the cabin explosion risk caused by gas release events.

Select

Application of elastoplastic inherent strain method in induction heating deformation of steel plate

ZHANG Xuebiao, WANG Qiao

Journal of Dalian Maritime University. 2023, 49(3): 88-96. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.009

Abstract (256)

Download PDF (99)

Knowledge map

Save

Aiming at the problem of long time consumption or inability to consider the heating sequence when traditional numerical methods were used to predict the deformation of curved panels with multiple heating wires, a finite element model coupled with electromagnetic-thermal-structure of steel plates was used to obtain the residual strain of a single heating wire, which was equivalent to a temperature load, and applied to the fixed strain zone. Then, the overall deformation of the steel plate was calculated by using the elastic-plastic inherent strain finite element method. In this paper, the elastoplastic inherent strain finite element method was used to simulate the deformation of convex plate and saddle plate with multiple heating lines, the errors between the calculation results and the experimental values of the plate deflection met the engineering calculation requirements. Moreover, the elastic-plastic inherent strain method can analyze the steel plate deformation under different heating sequence, as a result of an obvious influence on the deformation of steel plate.

Select

Research status and development trends of intelligent ships navigation risk assessment

ZHANG Wenjun, ZHANG Yingjun, LIU Zihao

Journal of Dalian Maritime University. 2023, 49(4): 13-19. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.04.002

Abstract (255)

Download PDF (190)

Knowledge map

Save

The risk categories and sources of intelligent ship navigation were summarized, the development process and current research hotspots of intelligent ship navigation risk assessment were introduced, and the research results of intelligent ship navigation risk assessment were classifed according to research methods. The problems in the research of intelligent ship navigation risk were proposed, and the future development trend of intelligent ship navigation risk assessment research was analyzed from multiple perspectives, and from methods to systems. This paper can provide theoretical reference and practical support for risk assessment of intelligent ships, develop and promote the maritime traffic safety of intelligent navigation systems in the new industry of intelligent shipping.

Select

Terminal sliding mode stabilization control of offshore gangway tip position

LIN Ze, WU Zhengping, DU Jialu

Journal of Dalian Maritime University. 2023, 49(3): 97-105. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.010

Abstract (254)

Download PDF (104)

Knowledge map

Save

Aiming at the position stabilization control problem of the offshore gangway tip, the expected joint trajectories of the gangway were calculated by inverse kinematics solution to compensate the disturbances of the gangway tip position caused by the ship motions under the waves, and ensure the gangway tip position unchangeable in the inertial coordinate system. Considering the parameter uncertainties and the generalized disturbance forces of the gangway caused by ship motions under waves in the gangway dynamics model, the extended state observer (ESO) was constructed to estimate the total disturbance composed of the parameter uncertainties and the generalized disturbance forces of the gangway caused by ship motions under waves. Furthermore, a terminal sliding mode trajectory tracking control law based on the ESO was designed to ensure the joint trajectories of the gangway tracking the expected trajectories. Theoretical analysis shows that the state estimation error of the constructed ESO is bounded, and the designed ESO based terminal sliding mode control law converges to zero in finite time for the joint position tracking error of the gangway, thereby ensuring that the end point position of the gangway remains unchanged in the inertial coordinate system. Simulation results verify the effectiveness of the designed control law.

Select

Pipeline flange leakage monitoring technology based on solid-liquid triboelectric nanogenerator

XU Xin, SHI Yuegong, XU Minyi, GUO Xinyang, DU Hengxu, ZHANG Haoxuan, CUI Jihao, WANG He

Journal of Dalian Maritime University. 2023, 49(3): 114-121. https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.012

Abstract (244)

Download PDF (116)

Knowledge map

Save

Based on the solid-liquid friction nanogenerator (TENG) technology, a sensor capable of monitoring flange leakage was studied and developed. It was composed of polytetrafluoroethylene (PTFE) dielectric material and metal electrodes, and the output performance under different conditions was studied by experiments to determine the sensor configuration and monitoring parameter design. In order to achieve the visualization of leakage monitoring signal transmission and alarm, a single-chip microcomputer circuit board adapted to sensors was developed, which can collect leakage signals and send to the terminal leakage alarm unit developed by using LabVIEW program through wireless transmission, achieving real-time monitoring of ship flange leakage.

Top Read

Please choose a citation manager

Content to export